Success stories

From 4 Months Behind Schedule to Full Project Recovery: A ServiceNow Success Story

How a specialized ServiceNow team rescued a project that was four months behind schedule.

SERVICE

Team Lead, Backend and Frontend Developers

INDUSTRY

Technology

TECHNOLOGY

Spring Boot, Java 11, Team City

The client

Vault is an insurance company that specializes in providing coverage for high-value assets and specialty risks.

Benefits

Challenge

A technology consulting company approached Mindtech with a ServiceNow project for the pharmaceutical retail industry that was already four months behind and facing multiple active incidents.

The project included billing, notifications, supplier logistics, a backend portal, and a mobile app.

After unsuccessful experiences with other vendors, the company needed developers with real ITSM expertise who could configure and solve problems from day one — without a learning curve.

Solutions

Mindtech assembled a four-person team: three senior ServiceNow developers and one technical lead acting as the main point of contact.

The team joined during the configuration phase and worked under an agile methodology, prioritizing user stories alongside the client.

The focus was on completing notifications, configuring supplier logistics, stabilizing the portal and mobile application, and operating as an integrated extension of the client’s internal team with continuous technical follow-up and reporting.

The Result

The project, which had accumulated a four-month delay, was brought back on track in approximately two months — even while absorbing new requirements from the end client during the process.

According to the client, the difference was the technical level of Mindtech’s team: the specialists adapted quickly, identified critical points, and started configuring from the very first week.

The technical leadership provided by the supervisor also helped reduce the management workload on the client’s side.

What the client says

“We could not have reached this stage of the project without the efforts of the
Mindtech team, and for that we are grateful for our continued relationship and your support of our software build out.”
Graham Hillis
Director of Software – Vault

Benefits

Improving product descriptions on the online store to enhance the customer shopping experience and increase sales.

Substantial reduce the time needed to input product attributes by leveraging cutting-edge technologies.
The process of completing product attributes was cumbersome and time-consuming. It also resulted in incomplete or error filled product descriptions, impacting the user’s shopping experience.
Using computer vision, we generated product descriptions which contain information about attributes such as color, material, dimensions, size, etc. This information is published on the ecommerce along with the product images.
The project is based on the use of AI generative models, specifically Gemini Pro Vision, to achieve three main objectives:
Staff Augmentation
Google Cloud Platform (GCP) was chosen for its robust cloud computing capabilities and built-in machine learning services, providing a reliable infrastructure that is highly scalable for heavy computational tasks.
Python was selected as a high-level, interpreted language with an abundance of AI-related libraries, allowing for easy readability, quick prototyping, and sophisticated AI and machine learning projects.
Docker was utilized to automate deployment and scaling of applications, ensuring the consistent operation of the AI model across various environments.
The Gemini Pro Vision Model and Text Embedding Gecko Model were used to offer specialized functionalities in computer vision and natural language processing respectively, providing capabilities such as sophisticated analysis of visual content and representing text data as normalized numerical vectors.
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